Gene Hart

891 total citations · 1 hit paper
14 papers, 691 citations indexed

About

Gene Hart is a scholar working on Oncology, Health Information Management and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gene Hart has authored 14 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Health Information Management and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gene Hart's work include Global Cancer Incidence and Screening (4 papers), Cancer Risks and Factors (2 papers) and Electronic Health Records Systems (2 papers). Gene Hart is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Cancer Risks and Factors (2 papers) and Electronic Health Records Systems (2 papers). Gene Hart collaborates with scholars based in United States, China and Spain. Gene Hart's co-authors include Mark C. Hornbrook, Jeffrey S. Brown, Tyler Ross, Roy Pardee, Daniel Ng, John F. Steiner, Edward H. Wagner, Amy Jean Gilmartin, F. James Rohlf and Lisa J. Herrinton and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and Evolution.

In The Last Decade

Gene Hart

14 papers receiving 668 citations

Hit Papers

The HMO Research Network Virtual Data Warehouse: A Public... 2014 2026 2018 2022 2014 100 200 300

Peers

Gene Hart
Comparison fields: 5 of 104
  • Oncology 226
  • Public Health, Environmental and Occupational Health 97
  • Genetics 94
  • Pulmonary and Respiratory Medicine 80
  • Surgery 76
Replace Rebeca Franco with:
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Ikhlaaq Ahmed United Kingdom
Jaclyn L.F. Bosco United States
Tim E. Aldrich United States
R. Sowmya Rao United States
Peter Bird United States
Wan‐Ling Hsu Japan
Sandra Millon‐Underwood United States
Sarah L. Hulin-Curtis United Kingdom
Jan T. Lowery United States
Rebeca Franco United States View profile →
Citations per field, relative to Gene Hart
Gene Hart · 1×
Citations per year, relative to Gene Hart
Gene Hart · 1×

Countries citing papers authored by Gene Hart

Since Specialization
Citations

This map shows the geographic impact of Gene Hart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gene Hart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene Hart more than expected).

Fields of papers citing papers by Gene Hart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene Hart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gene Hart. The network helps show where Gene Hart may publish in the future.

Co-authorship network of co-authors of Gene Hart

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Hart. A scholar is included among the top collaborators of Gene Hart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gene Hart. Gene Hart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 3
2
The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration breakdown →
326
3 32
4 40
5 106
6 44
7 27
8 1
9
Comparing breast cancer case identification using HMO computerized diagnostic data and SEER data.
18
10 7
11 6
12 41
13 23
14 17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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